πŸ“š Goodreads Book Scraper

πŸ“š Goodreads Book Scraper

Extract comprehensive book data from Goodreads search results. Get detailed information about books, authors, ratings, and more. Perfect for market research, data analysis, and building book recommendation systems. πŸ”πŸ“š

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Scrape detailed book information from Goodreads search results. Perfect for book researchers, publishers, and data analysts who need comprehensive book data.

🎯 Features

  • πŸ“– Search books by keywords
  • πŸ” Extract detailed book information including:
    • Book title and URL
    • Author details (name, profile URL, Goodreads author status)
    • Cover image URL
    • Rating information (average rating and number of ratings)
    • Publication year
    • Number of editions
  • ⚑ Fast and efficient scraping with built-in pagination handling
  • πŸ›‘οΈ Advanced browser automation with anti-detection measures
  • 🎚️ Configurable maximum items limit
  • 🌐 Proxy support for reliable data collection

πŸ“ Use Cases

  • πŸ“Š Market research for publishers and authors
  • πŸ“š Building book recommendation systems
  • πŸ” Competitive analysis of book ratings and popularity
  • πŸ“ˆ Tracking book performance metrics
  • 🎯 Finding popular books in specific genres or topics

πŸ’‘ Tips

  • Use specific keywords for more accurate results
  • Set appropriate maxItems limit based on your needs
  • Enable proxy configuration for better success rates
  • Consider rate limits and be respectful to Goodreads servers

Input Example

A full explanation of an input example in JSON.

1{
2    "keywords": [
3        "shaker"
4    ],
5    "maxItems": 50
6}

Output sample

The results will be wrapped into a dataset which you can always find in theΒ StorageΒ tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

1[
2    {
3        "keyword": "shaker",
4        "title": "Shaker (Blackwings MC, #5)Teagan Brooks",
5        "url": "https://www.goodreads.com/book/show/43999679-shaker",
6        "author": {
7            "name": "Teagan Brooks",
8            "url": "https://www.goodreads.comhttps://www.goodreads.com/author/show/18042726.Teagan_Brooks",
9            "isGoodreadsAuthor": true
10        },
11        "cover": "https://i.gr-assets.com/images/S/compressed.photo.goodreads.com/books/1550046473i/43999679._SY75_.jpg",
12        "rating": {
13            "average": 4.49,
14            "count": 3196
15        },
16        "publishYear": 2019,
17        "editions": 5
18    },
19    ...
20]

Here are some other useful actors for content and social media scraping:

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool β€” just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!